Queuing is a major challenge for healthcare services all over the world, but particularly so in developing countries. Application of queuing theory to enhance decision making to improve this problem is not commonly used by managers in developing countries in contrast to their counterparts in the developed world. This study investigates the application of queuing theory and modelling to the queuing problem at the out-patient department at AngloGold Ashanti hospital in Obuasi, Ghana. Using a descriptive, observational and ex-post facto case study approach, data was generated, analysed and used to model five capacity scenarios for the outpatient department. It is established that the optimum system performance can be achieved with eight doctors effectively at post from contrast to the prevailing five doctors that were effectively at post. In sum, the study establishes that applying queuing theory and modelling to queuing and capacity challenges can enhance decision making with regards to what will provide optimal performance.
Adele, M., & Barry, S. (2005). Modeling patient flow in hospital using queuing theory. Unpublished Manuscript.
Albin, S. L., Barrett, J., Ito, D., & Mueller, J. E. (1990). A queuing network analysis of a health center. Queuing Systems, 7, 51-61.
Bailey, N. T. J., (1954).Queuing for medical care, Applied Statistics, Vol.3, 137-145.
Brahimi, M., & Worthington, D. J. (1991). Queuing models for out-patient appointment systems - a case study. The Journal of Operational Research Society, 42, 733-746.
Cahill, W., & Render, M. (1999). Dynamic Simulation Modeling of ICU Bed Availability. Proceedings of the 1999 Winter Simulation Conference.
Cochran, K. J., & Bharti, A. (2006). A Multi-stage Stochastic Methodology for Whole Hospital Bed Planning Under Peak Loading. International Journal of Industrial and Systems Engineering(1 (1/2)), 8-35.
Davies, R., & Davies, H. T. (2005). Modelling Patient Flows and Resource Provisions in Health Systems. Omega - Oxford Pergamon Press, 22, 123.
Green, L. V. (2002). How many Hospital Beds? Inquiry, 37(4), 400-412.
Green, L. V. (2006a). Queuing analysis in healthcare, in Patient Flow: Reducing Delay in Healthcare Deliver (Hall, R.W.ed ed.). New York: Springer.
Green, L. V. (2006b). Using queuing theory to to increase the effectiveness of emergency department provider staffing. Academic Emergency Medicine, 13, 61-68.
Green, L. V., Soares, J., Giulio, J., & Green, R. (2006). Using Queuing Theory to Increase the Effectiveness of Emergency Department Provides Staffing. Academic Emergency Medicine, 13(1), 61-68.
Gupta, I., Zoreda, J., & Kramer, N. (1971). Hospital manpower planning by use of queuing theory. Health Services Research, 6, 76-82.
Hall, R., Belson, D., Murali, P., & Dessouky, M. (2006). Modeling patient flows through the health care system, in Patient Flow: Reducing Delay in Healthcare Delivery. In Hall, R.W ed (Hall, R.W. ed. ed., pp. 1-44). New York: Springer.
Ivalis, S., & Millard, P. (2003). Health care modeling operating the black box. British Journal of Health Care Management(8(7)), 251-255.
Keller, T. F., & Laughhunn, D. J. (1973). An application of queuing theory to a congestion problem in an outpatient clinic. Decision Sciences, 4, 379-394.
Kim, S., Horowitz, I., Young, K., & Buckly, T. (1999). Analysis of Capacity Management of the Intensive Care Unit in a Hospital. European Journal of Operational Research, 105, 346-355.
McQuarrie, D. G. (1983). Hospital utilization levels. The application of queuing theory to a controversial medical economic problem. Minnesota Medicine, 66, 679-86.
Murray, S. C. (2000). Understanding the Patient Flow. Decision Line, March, 8-10.
Obamiro, J. (2003). Application of Queing Model in Determining the Optimum number of Service Facility in Nigerian Hospitals, M Sc. Project submitted to Department of Business Administration, University of Ilorin.
Ozcan, Y. A. (2006). Quantitative methods in health care management; Techniques and applications (First edition ed.). Jossey-Bass Publications.
Roche, K. T., Cochran, J. K., & Fulton, I. A. (2007). Improving patieny safety by maximizing fast-track benefits in the emergency department - a queuing network approach, in Proceedings of the 2007 Industrial Engineering Research Conference, pp 619-624.
Rosenquist, C. J. (1987). Queing analysis: a useful planning and management technique for radiology. Journal of Medical Systems, 11, 413-419.
Siddhartan, K., Jones, W. J., & Johnson, J. A. (1996). A priority queuing model to reduce waiting times in emergency care. International Journal of Health Care Quality Assurance, 9, 10-16.
Singh, V. (2006). Use of Queuing Models in Health Care Decision Analysis. Department of Health Policy and Management, University of Arkansas for Medical Science.
Vasanawala, S. S., & Desser, T. S. (2005). Accomodation of requests for emergency US and CT: Applications of queuing theory to scheduling of urgent studies. Radilogy(235), 244-249.
Afrane, S., & Appah, A. (2014). Queuing theory and the management of Waiting-time in Hospitals: The case of Anglo Gold Ashanti Hospital in Ghana. International Journal of Academic Research in Business and Social Sciences, 4(2). 32-41.
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